SECTCS: Towards improving VSM and Naive Bayesian classifier

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 5, Issue , 2002, Pages 465-469

  Lu, Mingyu ^a,b   Hu, Keyun ^a   Wu, Yi ^c   Lu, Yuchang ^a   Zhou, Lizhu ^a  

^a TSINGHUA UNIVERSITY   (China)

^b YANTAI UNIVERSITY   (China)

^c HEILONGJIANG UNIVERSITY   (China)

Author keywords

Naive Bayesian classifier; Text classification; Text mining; VSM; Weight adjustment

Indexed keywords

ABSTRACTING; CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; VECTORS; WORLD WIDE WEB;

WEIGHT ADJUSTMENT;

TEXT PROCESSING;

EID: 0038745428     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Joachims T.: A Probabilistic Analysis of the Rocchio Algorithm with TF-IDF for Text Classification. Proc of the 14th International Conference on Machine Learning ICML97(1997) 143-151.
2. Mladenic D, Grobelnik M.: Feature Selection for Unbalanced Class Distribution and Naive Bayes. Proceedings of the 16th International Conference on Machine Learning ICML-99, Morgan Kaufmann Publishers, San Francisco, CA(1999)258-267.
3. Yiming Yang, Jan O Pedersen.: A Comparative Study on Feature Selection in Text Classification. http://citeseer.nj.nec.com/yang97comparative.html(1997)
4. Yiming Yang. An Evaluation of Statistical Approach to Text Classification. In Technical Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon University(1997).
5. Sahami M. Using Machine Learning to Improve Information Access. [Doctoral Dissertation], Computer Science Department, Stanford University, USA(1999).
6. Shrikanth Shankar, George Karypis.: A Feature Weight Adjustment Algorithm for Document Classification, Proc. Of KDD2000(2000).
7. Li Fan, Lu MingYu, Lu YuChang.: Research About New Methods of Feature Extraction from Text, Journal of Tsinghua University(2001.7).